Apache Spark Developers Have Voted to Include Cypher in Spark 3.0 [Update]
February 15, 2019 4 mins read
The community vote by Apache Spark contributors has just closed – and the results are positive. Thank you to everyone who participated when we asked for your votes and feedback. As part of the preparations for a forthcoming Apache Spark… Read more →
Explore: apache spark • cypher • data integration • data science • graph algorithms • Graph Analytics • graph query language • Oracle • RDF • W3C
Host an Event (Big or Small) with Us for Global Graph Celebration Day
February 14, 2019 5 mins read
Join us and the global Neo4j community on April 15, 2019 to celebrate the birth of the inventor of graph theory, Leonhard Euler!. Help us lead this day of celebration, collaboration and advocacy around the topic of graph-thinking and those… Read more →
Explore: Global Graph Celebration Day • Graph Databases • Graph Theory • Leonard Euler • Neo4j Community • Seven Bridges of Königsberg
The Fabric of DevOps: Using Neo4j to Manage Site Infrastructure
February 13, 2019 16 mins read
Editor’s Note: This presentation was given by Ashley Sun at GraphConnect NYC in October 2017. Presentation Summary LendingClub runs 400+ microservices that comprise its online marketplace lending platform, the largest in America. Every one of these services has been developed,… Read more →
Explore: AWS • deployment automation • DevOps • graph visualization • graphconnect • infrastructure mapping • LendingClub • Mercator • microservices • neo4j
Graph Algorithms in Neo4j: Closeness Centrality
February 11, 2019 5 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: centrality algorithms • closeness centrality • cypher • graph algorithms • Graph Analytics • graph database • Graph Search • intelligent solutions • neo4j • shortest paths
#GraphCast: Fake News Edition
February 10, 2019 2 mins read
Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent… Read more →
Explore: fake news • graph database • GraphCast • machine learning • NBC News • neo4j • open sourced data • russian trolls • twitter
This Week in Neo4j – Speaker Identification meets graphs, Graph Technology Landscape, Why You Need Graph Technology on GKE, Revealing Malware relationships
February 9, 2019 5 mins read
Welcome to This Week in Neo4j, where this week we have a presentation explaining why you need graph technology on Google Kubernetes Engine, as well as a blog post explaining how to reveal malware relationships using Neo4j. We also have… Read more →
Explore: BBC GoodFood • GKE • Graph Technology Landscape • malware analysis • Power BI • Speaker Identification • twin4j
DeepWalk: 5-Minute Interview with Dr. Steven Skiena
February 8, 2019 4 mins read
“Graphs have become very powerful, they’re fundamental, and they’re only becoming more and more important,” said Dr. Steven Skiena, Director of the AI Institute at Stony Brook University. Graphs are a fundamental part of computer science, and they are only… Read more →
Explore: 5-minute interview • data science • DeepWalk • Dr. Steven Skiena • graph algorithms • graph embedding • machine learning • Social Networks • Stony Brook University • word2vec
Leveraging Data Science Tools for Fraud Investigation
February 6, 2019 15 mins read
Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →
Explore: Big Data • data science • fraud • Graph Visualizations • graphconnect • machine learning • natural language processing • predictive analytics • private investigator • structured data
Graph Algorithms in Neo4j: Betweenness Centrality
February 4, 2019 6 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: betweenness centrality • centrality algorithms • cypher • Genomics • graph algorithms • Graph Analytics • Graph Search • shortest paths